公开(公告)号：US20130311100A1

公开(公告)日：2013-11-21

申请号：US13952755

申请日：2013-07-29

Applicant: WESTERNGECO L.L.C.

Inventor： IAN MOORE

IPC: G01V1/36

CPC classification number: G01V1/362 ,  G01V1/364 ,  G01V1/3808 ,  G01V2210/52

Abstract: A method of processing seismic data including measurement data and their gradients to obtain gradients of move-out corrected data, comprising deriving gradients of the measurement data, deriving a first term comprising applying a move-out correction function to the measurement data; deriving a second term by applying the move-out correction function to the gradients and deriving gradients of move-out corrected data by adding the first term and the second term. The gradients of move-out corrected data are used to process physical properties of the earth's interior. The method may be used prior to any data processing algorithm which uses measurement gradient data in which move-out correction is applied prior to the algorithm, either because the algorithm makes a zero offset assumption or because it is beneficial for the algorithm to operate on move-out corrected data to reduce aliasing.

Abstract translation: 一种处理包括测量数据及其梯度的地震数据以获得移出校正数据的梯度的方法，包括导出测量数据的梯度，导出第一项，包括对测量数据应用移出校正功能; 通过将移出校正函数应用于梯度并通过添加第一项和第二项来导出移出校正数据的梯度来导出第二项。 移动校正数据的梯度用于处理地球内部的物理特性。 该方法可以在使用在算法之前应用移出校正的测量梯度数据的任何数据处理算法之前使用，这是因为算法做出零偏移假设，或者因为有利于算法在移动中操作 - 修正数据以减少混叠。

公开(公告)号：US20150006085A1

公开(公告)日：2015-01-01

申请号：US14296169

申请日：2014-06-04

Applicant: WESTERNGECO L.L.C.

Inventor： RICHARD BISLEY ,  IAN MOORE

IPC: G01V1/28

CPC classification number: G01V1/36 ,  G01V1/38 ,  G01V2210/56

Abstract: Data representing a first multiple is predicted, based on first survey data for a target structure, using a multidimensional model of a layer in which the first multiple occurs. Modified survey data is produced by performing a subtraction of the predicted data representing the first multiple from the first survey data. Based on the modified survey data, data representing a second multiple is predicted using the multidimensional model.

Abstract translation: 基于目标结构的第一勘测数据，使用发生第一次多重层的多维模型来预测表示第一倍数的数据。 通过从第一测量数据中减去表示第一倍数的预测数据来产生修改的调查数据。 基于修改的调查数据，使用多维模型预测表示第二倍数的数据。

公开(公告)号：US20130245955A1

公开(公告)日：2013-09-19

申请号：US13888075

申请日：2013-05-06

Applicant: WESTERNGECO L.L.C.

Inventor： WILLIAM H. DRAGOSET, JR. ,  IAN MOORE

IPC: G01V1/28

CPC classification number: G01V1/28 ,  G01V1/36 ,  G01V2210/56

Abstract: A method for predicting a plurality of surface multiples for a plurality of target traces in a record of seismic data acquired in a survey area. The method includes selecting a target trace and identifying two or more desired traces for multiple prediction based on the target trace. After identifying the desired traces, the method identifies one or more recorded traces for each desired trace. Each identified recorded trace is described as being substantially close to one of the desired traces. The method then includes correcting the identified recorded traces for one or more geometry-related effects associated with the survey area and convolving the corrected recorded traces to generate a plurality of convolutions. After convolving the corrected recorded traces, the method then stacks the convolutions.

Abstract translation: 一种用于在测量区域中获取的地震数据的记录中预测多个目标轨迹的多个表面倍数的方法。 该方法包括基于目标迹线选择目标轨迹并识别用于多个预测的两个或多个期望轨迹。 在识别所需的迹线之后，该方法识别每个所需迹线的一个或多个记录的迹线。 每个识别的记录轨迹被描述为基本上接近所需轨迹之一。 该方法然后包括校正与测量区域相关联的一个或多个与几何相关的效应的识别的记录轨迹，并且对已校正的记录轨迹进行卷积以产生多个卷积。 在对已校正的记录轨迹进行卷积之后，该方法然后叠加卷积。

公开(公告)号：US20130235697A1

公开(公告)日：2013-09-12

申请号：US13723125

申请日：2012-12-20

Applicant: WESTERNGECO L.L.C.

Inventor： BARTOSZ SZYDLIK ,  IAN MOORE

IPC: G01V1/28

CPC classification number: G01V1/282 ,  G01V1/005 ,  G01V1/28 ,  G01V1/364 ,  G01V2210/614

Abstract: Computing systems and methods for processing collected data are disclosed. In one embodiment, a method for iteratively separating a simultaneous-source dataset is provided, wherein the simultaneous-source dataset is used as an input dataset for a first iteration of simultaneous-source separation. The input dataset includes a plurality of shots that include data corresponding to a plurality of source activations. The method of iteratively separating the input dataset includes generating simulated simultaneous shots based on shots separated in the input dataset; and forming an output dataset based on the separated simultaneous shots and the simultaneous-source dataset, wherein the output dataset is configured for use as the input dataset for the next iteration of separating the simultaneous-source dataset.

Abstract translation: 公开了用于处理收集的数据的计算系统和方法。 在一个实施例中，提供了用于迭代地分离同时源数据集的方法，其中同时源数据集被用作用于同时源分离的第一迭代的输入数据集。 输入数据集包括多个镜头，其包括对应于多个源激活的数据。 迭代分离输入数据集的方法包括基于输入数据集中分离的镜头产生模拟同时拍摄; 以及基于分离的同步镜头和同时源数据集形成输出数据集，其中输出数据集被配置为用作用于分离同时源数据集的下一次迭代的输入数据集。